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Depth Maps Created from Blur Information Using Images with Focus at Near and at Far

机译:使用具有焦点的模糊信息创建的深度映射,距离附近而且

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A method of producing depth maps for depth-image-based rendering (DIBR) of stereoscopic views is proposed and tested. The method is based on depth-from-defocus techniques, utilizing two original images, one with the camera focused at a near point and the other with it focused at a far point in the captured scene to produce depth maps from blur at edge locations. It is assumed that the level of blur at an edge reflects the distance it is from the focused distance. For each image, estimates of the level of blur edges at local regions are obtained by determining the optimal scale for edge detection based on a luminance gradient. An Edge-Depth map is then obtained by evaluating differences in blur for corresponding regions in the two images. This is followed by an additional process in which regions in the Edge-Depth map that have no depth values are filled to produce a Filled-Depth map. A group of viewers assessed the depth quality of a representative set of stereoscopic images that were produced by DIBR using the two types of depth maps. It was found that the stereoscopic images generated with the Filled-Depth and the Edge-Depth maps produced depth quality ratings that were higher than those produced by their monoscopic, two-dimensional counterparts. Images rendered using the Filled-Depth maps, but not the Edge-Depth maps, produced ratings of depth quality that were equal to those produced with factual, full depth maps. A hypothesis as to how the proposed method might be improved is discussed.
机译:提出并测试了一种用于为基于深度图像的渲染(DIBR)的深度图的方法。该方法基于深度从散焦技术,利用两个原始图像,一个具有相机聚焦在近点的相机,另一个在捕获的场景中聚焦到远定点,以产生从边缘位置的模糊的深度图。假设边缘处的模糊水平反映了它来自聚焦距离的距离。对于每个图像,通过基于亮度梯度确定用于边缘检测的最佳比例来获得局部区域的模糊边缘水平的估计。然后通过评估两个图像中的相应区域的模糊的差异来获得边缘深度图。其次是附加过程,其中填充不具有深度值的边缘深度图中的区域以产生填充深度图。一组观众评估了通过DIBR使用两种类型的深度图产生的代表性立体图像的深度质量。发现用填充深度和边缘深度图产生的立体图像产生的深度质量评级高于由其单视镜两维对应物产生的额定值。使用填充深度映射呈现的图像,但不是边缘深度映射,产生的额定值等于与事实,完整深度映射产生的额定值。讨论了如何改进所提出的方法的假设。

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